Book Image

Hands-On Data Structures and Algorithms with Python - Third Edition

By : Dr. Basant Agarwal
Book Image

Hands-On Data Structures and Algorithms with Python - Third Edition

By: Dr. Basant Agarwal

Overview of this book

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
Table of Contents (17 chapters)
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To get the most out of this book

The code in this book needs to be run on Python 3.10 or higher. Python’s interactive environment can also be used to run the code snippets. It is advised to learn the algorithms and concepts by executing the code provided in the book to better understand the algorithms. The book is aimed to give practical exposure to the readers, so it is recommended to do the programming for all the algorithms to get maximum out of this book.

Download the example code files

The code bundle for the book is hosted on GitHub at In case there’s an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here:

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “The ‘not in' operator returns True if it does not find a variable in the specified sequence and False if it is found.”

A block of code is set as follows:

p = "Hello India"
q = 10
r = 10.2

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

while self.slots[h] != None:
    if self.slots[h].key == key:
        return self.slots[h].value
    h = (h + j * (self.prime_num - (self.h2(key) % self.prime_num))) % self.size
    j = j + 1
return None

Any command-line input or output is written as follows:

sudo apt-get install python3.10

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: “Each position in the hash table is often called a slot or bucket that can store an element.”

Warnings or important notes appear like this.

Tips and tricks appear like this.